In order to optimize the excitation control problem of hydro-generator,a mathematical model was presented.With the fuzzy theory and the advanced intelligent optimization control method,a hydro-generator excitation controller was proposed based on the integration of particle swarm algorithm (PSO) and fuzzy PID.The initial parameters of controller were selected by PSO,and the system was dynamically controlled by FAPID.Finally,compared with the traditional PID control and fuzzy control PID control,the simulation results show that the fuzzy adaptive PID excitation control based on the particle swarm optimization algorithm has faster response speed (less than 1 second rise time) and smaller overshoot (less than 5% overshoot).The control system as an advanced control method can be faster,more accurate and stable.